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<title>Compute Library: tests/validation/reference/PoolingLayer.cpp Source File</title>
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<div class="title">PoolingLayer.cpp</div>  </div>
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<a href="validation_2reference_2_pooling_layer_8cpp.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno">    1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno">    2</span>&#160;<span class="comment"> * Copyright (c) 2017-2018 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno">    3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno">    4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno">    5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno">    6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno">    7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno">    8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno">    9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno">   10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno">   11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno">   12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno">   13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno">   14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno">   15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno">   16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno">   17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno">   18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_pooling_layer_8h.xhtml">PoolingLayer.h</a>&quot;</span></div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>&quot;</span></div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_shape_calculator_8h.xhtml">arm_compute/core/utils/misc/ShapeCalculator.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2validation_2_fixed_point_8h.xhtml">tests/validation/FixedPoint.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2validation_2_helpers_8h.xhtml">tests/validation/Helpers.h</a>&quot;</span></div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;{</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;{</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;<span class="keyword">namespace </span>validation</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;{</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;<span class="keyword">namespace </span>reference</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;{</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;<span class="keyword">using namespace </span><a class="code" href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml">arm_compute::misc::shape_calculator</a>;</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;template &lt;typename T, typename std::enable_if&lt;is_floating_point&lt;T&gt;::value, <span class="keywordtype">int</span>&gt;::type&gt;</div><div class="line"><a name="l00042"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f690c5421273f6af88ec6e1434d5cc5">   42</a></span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f690c5421273f6af88ec6e1434d5cc5">pooling_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>)</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;{</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a658e806b42869826f29b9288505da774">is_global_pooling</a>() &amp;&amp; (src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().x() != src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().y()));</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    <span class="comment">// Create reference</span></div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>{ <a class="code" href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ad242bedd6845b8fc13ade41cfc062c83">compute_pool_shape</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), 1, src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>(), src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>()), info), src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>(), 1, src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>() };</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span>   pool_size_x     = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a658e806b42869826f29b9288505da774">is_global_pooling</a>() ? src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().x() : info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a8ec75d4a941a9762431094479527f954">pool_size</a>().<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>;</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span>   pool_size_y     = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a658e806b42869826f29b9288505da774">is_global_pooling</a>() ? src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().y() : info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a8ec75d4a941a9762431094479527f954">pool_size</a>().<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>;</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93">PoolingType</a> type            = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a7e8311a3a774bceb8efae1d5c8c8aeff">pool_type</a>();</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    <span class="keywordtype">int</span>         pool_stride_x   = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#ad2f1ea50a9e215ad8ef612a724a4866a">stride</a>().first;</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;    <span class="keywordtype">int</span>         pool_stride_y   = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#ad2f1ea50a9e215ad8ef612a724a4866a">stride</a>().second;</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    <span class="keywordtype">int</span>         pad_left        = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a377481844bf0459e5ef871cc72d72496">pad_left</a>();</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <span class="keywordtype">int</span>         pad_top         = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a2a86593e913939d9eadad26c2df65138">pad_top</a>();</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    <span class="keywordtype">int</span>         pad_right       = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#afaaf8f4d7fa22fe9a3f4ff41567cd886">pad_right</a>();</div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    <span class="keywordtype">int</span>         pad_bottom      = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a2d3a66a044dcf4217d97f6b47319d5f1">pad_bottom</a>();</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    <span class="keywordtype">bool</span>        exclude_padding = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a078456fcb5fe2091665e52e650cd46c6">exclude_padding</a>();</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> w_src      = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]);</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> h_src      = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1]);</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span>  upper_dims = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().total_size() / (w_src * h_src);</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> w_dst = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.shape()[0]);</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> h_dst = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.shape()[1]);</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    <span class="keywordflow">if</span>(type == <a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">PoolingType::MAX</a>)</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    {</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> r = 0; r &lt; upper_dims; ++r)</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;        {</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;            <span class="keywordflow">for</span>(<span class="keywordtype">int</span> h = 0; h &lt; h_dst; ++h)</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;            {</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;                <span class="keywordflow">for</span>(<span class="keywordtype">int</span> w = 0; w &lt; w_dst; ++w)</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;                {</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;                    <span class="keywordtype">int</span> wstart = w * pool_stride_x - pad_left;</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;                    <span class="keywordtype">int</span> hstart = h * pool_stride_y - pad_top;</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;                    <span class="keywordtype">int</span> wend   = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(wstart + pool_size_x, w_src);</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;                    <span class="keywordtype">int</span> hend   = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(hstart + pool_size_y, h_src);</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;                    wstart     = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(wstart, 0);</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;                    hstart     = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(hstart, 0);</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;                    T max_val = std::numeric_limits&lt;T&gt;::lowest();</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;                    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = hstart; y &lt; hend; ++y)</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;                    {</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;                        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = wstart; x &lt; wend; ++x)</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;                        {</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;                            <span class="keyword">const</span> T val = src[r * h_src * w_src + y * w_src + x];</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;                            <span class="keywordflow">if</span>(val &gt; max_val)</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;                            {</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;                                max_val = val;</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;                            }</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;                        }</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;                    }</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;                    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[r * h_dst * w_dst + h * w_dst + w] = max_val;</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;                }</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;            }</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;        }</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    }</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    <span class="keywordflow">else</span> <span class="comment">// Average or l2 pooling</span></div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    {</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> r = 0; r &lt; upper_dims; ++r)</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;        {</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;            <span class="keywordflow">for</span>(<span class="keywordtype">int</span> h = 0; h &lt; h_dst; ++h)</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;            {</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;                <span class="keywordflow">for</span>(<span class="keywordtype">int</span> w = 0; w &lt; w_dst; ++w)</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;                {</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;                    T   avg_val(0);</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;                    <span class="keywordtype">int</span> wstart = w * pool_stride_x - pad_left;</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;                    <span class="keywordtype">int</span> hstart = h * pool_stride_y - pad_top;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;                    <span class="keywordtype">int</span> wend   = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(wstart + pool_size_x, w_src + pad_right);</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;                    <span class="keywordtype">int</span> hend   = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(hstart + pool_size_y, h_src + pad_bottom);</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;                    <span class="keywordtype">int</span> pool   = (hend - hstart) * (wend - wstart);</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;                    wstart     = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(wstart, 0);</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;                    hstart     = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(hstart, 0);</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;                    wend       = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(wend, w_src);</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;                    hend       = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(hend, h_src);</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;                    <span class="comment">// Exclude padding pixels from the average</span></div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;                    <span class="keywordflow">if</span>(exclude_padding)</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;                    {</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;                        pool = (hend - hstart) * (wend - wstart);</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;                    }</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;                    <span class="keywordflow">if</span>(type == <a class="code" href="namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93afcefd647d6a866603c627b11347c707a">PoolingType::AVG</a>)</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;                    {</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;                        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = hstart; y &lt; hend; ++y)</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;                        {</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;                            <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = wstart; x &lt; wend; ++x)</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;                            {</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;                                avg_val += src[r * h_src * w_src + y * w_src + x];</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;                            }</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;                        }</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;                        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[r * h_dst * w_dst + h * w_dst + w] = avg_val / pool;</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;                    }</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;                    <span class="keywordflow">else</span></div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;                    {</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;                        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = hstart; y &lt; hend; ++y)</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;                        {</div><div class="line"><a name="l00139"></a><span class="lineno">  139</span>&#160;                            <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = wstart; x &lt; wend; ++x)</div><div class="line"><a name="l00140"></a><span class="lineno">  140</span>&#160;                            {</div><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;                                <span class="keyword">const</span> T val = src[r * h_src * w_src + y * w_src + x];</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;                                avg_val += val * val;</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;                            }</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;                        }</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;                        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[r * h_dst * w_dst + h * w_dst + w] = std::sqrt(avg_val / pool);</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;                    }</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;                }</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;            }</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;        }</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;    }</div><div class="line"><a name="l00151"></a><span class="lineno">  151</span>&#160;</div><div class="line"><a name="l00152"></a><span class="lineno">  152</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;}</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;template &lt;typename T, typename std::enable_if&lt;std::is_integral&lt;T&gt;::value, <span class="keywordtype">int</span>&gt;::type&gt;</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f690c5421273f6af88ec6e1434d5cc5">pooling_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>)</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;{</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;    <a class="code" href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a>(info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a658e806b42869826f29b9288505da774">is_global_pooling</a>() &amp;&amp; (src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().x() != src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().y()));</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> w_src      = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[0]);</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> h_src      = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>()[1]);</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span>  upper_dims = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().total_size() / (w_src * h_src);</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span>   pool_size_x     = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a658e806b42869826f29b9288505da774">is_global_pooling</a>() ? src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().x() : info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a8ec75d4a941a9762431094479527f954">pool_size</a>().<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">width</a>;</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">int</span>   pool_size_y     = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a658e806b42869826f29b9288505da774">is_global_pooling</a>() ? src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>().y() : info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a8ec75d4a941a9762431094479527f954">pool_size</a>().<a class="code" href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">height</a>;</div><div class="line"><a name="l00166"></a><span class="lineno">  166</span>&#160;    <a class="code" href="namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93">PoolingType</a> type            = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a7e8311a3a774bceb8efae1d5c8c8aeff">pool_type</a>();</div><div class="line"><a name="l00167"></a><span class="lineno">  167</span>&#160;    <span class="keywordtype">int</span>         pool_stride_x   = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#ad2f1ea50a9e215ad8ef612a724a4866a">stride</a>().first;</div><div class="line"><a name="l00168"></a><span class="lineno">  168</span>&#160;    <span class="keywordtype">int</span>         pool_stride_y   = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#ad2f1ea50a9e215ad8ef612a724a4866a">stride</a>().second;</div><div class="line"><a name="l00169"></a><span class="lineno">  169</span>&#160;    <span class="keywordtype">int</span>         pad_left        = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a377481844bf0459e5ef871cc72d72496">pad_left</a>();</div><div class="line"><a name="l00170"></a><span class="lineno">  170</span>&#160;    <span class="keywordtype">int</span>         pad_top         = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a2a86593e913939d9eadad26c2df65138">pad_top</a>();</div><div class="line"><a name="l00171"></a><span class="lineno">  171</span>&#160;    <span class="keywordtype">int</span>         pad_right       = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#afaaf8f4d7fa22fe9a3f4ff41567cd886">pad_right</a>();</div><div class="line"><a name="l00172"></a><span class="lineno">  172</span>&#160;    <span class="keywordtype">int</span>         pad_bottom      = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">pad_stride_info</a>().<a class="code" href="classarm__compute_1_1_pad_stride_info.xhtml#a2d3a66a044dcf4217d97f6b47319d5f1">pad_bottom</a>();</div><div class="line"><a name="l00173"></a><span class="lineno">  173</span>&#160;    <span class="keywordtype">bool</span>        exclude_padding = info.<a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml#a078456fcb5fe2091665e52e650cd46c6">exclude_padding</a>();</div><div class="line"><a name="l00174"></a><span class="lineno">  174</span>&#160;</div><div class="line"><a name="l00175"></a><span class="lineno">  175</span>&#160;    <span class="comment">// Create reference</span></div><div class="line"><a name="l00176"></a><span class="lineno">  176</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;T&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>{ <a class="code" href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ad242bedd6845b8fc13ade41cfc062c83">compute_pool_shape</a>(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>(src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>(), 1, src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>(), src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>()), info), src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>(), 1, src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>() };</div><div class="line"><a name="l00177"></a><span class="lineno">  177</span>&#160;</div><div class="line"><a name="l00178"></a><span class="lineno">  178</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> w_dst = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.shape()[0]);</div><div class="line"><a name="l00179"></a><span class="lineno">  179</span>&#160;    <span class="keyword">const</span> <span class="keyword">auto</span> h_dst = <span class="keyword">static_cast&lt;</span><span class="keywordtype">int</span><span class="keyword">&gt;</span>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>.shape()[1]);</div><div class="line"><a name="l00180"></a><span class="lineno">  180</span>&#160;</div><div class="line"><a name="l00181"></a><span class="lineno">  181</span>&#160;    <span class="keywordflow">if</span>(type == <a class="code" href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">PoolingType::MAX</a>)</div><div class="line"><a name="l00182"></a><span class="lineno">  182</span>&#160;    {</div><div class="line"><a name="l00183"></a><span class="lineno">  183</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> r = 0; r &lt; upper_dims; ++r)</div><div class="line"><a name="l00184"></a><span class="lineno">  184</span>&#160;        {</div><div class="line"><a name="l00185"></a><span class="lineno">  185</span>&#160;            <span class="keywordflow">for</span>(<span class="keywordtype">int</span> h = 0; h &lt; h_dst; ++h)</div><div class="line"><a name="l00186"></a><span class="lineno">  186</span>&#160;            {</div><div class="line"><a name="l00187"></a><span class="lineno">  187</span>&#160;                <span class="keywordflow">for</span>(<span class="keywordtype">int</span> w = 0; w &lt; w_dst; ++w)</div><div class="line"><a name="l00188"></a><span class="lineno">  188</span>&#160;                {</div><div class="line"><a name="l00189"></a><span class="lineno">  189</span>&#160;                    <span class="keywordtype">int</span> wstart = w * pool_stride_x - pad_left;</div><div class="line"><a name="l00190"></a><span class="lineno">  190</span>&#160;                    <span class="keywordtype">int</span> hstart = h * pool_stride_y - pad_top;</div><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;                    <span class="keywordtype">int</span> wend   = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(wstart + pool_size_x, w_src);</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;                    <span class="keywordtype">int</span> hend   = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(hstart + pool_size_y, h_src);</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;                    wstart     = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(wstart, 0);</div><div class="line"><a name="l00194"></a><span class="lineno">  194</span>&#160;                    hstart     = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(hstart, 0);</div><div class="line"><a name="l00195"></a><span class="lineno">  195</span>&#160;</div><div class="line"><a name="l00196"></a><span class="lineno">  196</span>&#160;                    T max_val = std::numeric_limits&lt;T&gt;::lowest();</div><div class="line"><a name="l00197"></a><span class="lineno">  197</span>&#160;                    <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = hstart; y &lt; hend; ++y)</div><div class="line"><a name="l00198"></a><span class="lineno">  198</span>&#160;                    {</div><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;                        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = wstart; x &lt; wend; ++x)</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;                        {</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;                            <span class="keyword">const</span> T val = src[r * h_src * w_src + y * w_src + x];</div><div class="line"><a name="l00202"></a><span class="lineno">  202</span>&#160;                            <span class="keywordflow">if</span>(val &gt; max_val)</div><div class="line"><a name="l00203"></a><span class="lineno">  203</span>&#160;                            {</div><div class="line"><a name="l00204"></a><span class="lineno">  204</span>&#160;                                max_val = val;</div><div class="line"><a name="l00205"></a><span class="lineno">  205</span>&#160;                            }</div><div class="line"><a name="l00206"></a><span class="lineno">  206</span>&#160;                        }</div><div class="line"><a name="l00207"></a><span class="lineno">  207</span>&#160;                    }</div><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;                    <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[r * h_dst * w_dst + h * w_dst + w] = max_val;</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;                }</div><div class="line"><a name="l00211"></a><span class="lineno">  211</span>&#160;            }</div><div class="line"><a name="l00212"></a><span class="lineno">  212</span>&#160;        }</div><div class="line"><a name="l00213"></a><span class="lineno">  213</span>&#160;    }</div><div class="line"><a name="l00214"></a><span class="lineno">  214</span>&#160;    <span class="keywordflow">else</span> <span class="comment">// Average or l2 pooling</span></div><div class="line"><a name="l00215"></a><span class="lineno">  215</span>&#160;    {</div><div class="line"><a name="l00216"></a><span class="lineno">  216</span>&#160;        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> r = 0; r &lt; upper_dims; ++r)</div><div class="line"><a name="l00217"></a><span class="lineno">  217</span>&#160;        {</div><div class="line"><a name="l00218"></a><span class="lineno">  218</span>&#160;            <span class="keywordflow">for</span>(<span class="keywordtype">int</span> h = 0; h &lt; h_dst; ++h)</div><div class="line"><a name="l00219"></a><span class="lineno">  219</span>&#160;            {</div><div class="line"><a name="l00220"></a><span class="lineno">  220</span>&#160;                <span class="keywordflow">for</span>(<span class="keywordtype">int</span> w = 0; w &lt; w_dst; ++w)</div><div class="line"><a name="l00221"></a><span class="lineno">  221</span>&#160;                {</div><div class="line"><a name="l00222"></a><span class="lineno">  222</span>&#160;                    <span class="keywordtype">int</span> wstart = w * pool_stride_x - pad_left;</div><div class="line"><a name="l00223"></a><span class="lineno">  223</span>&#160;                    <span class="keywordtype">int</span> hstart = h * pool_stride_y - pad_top;</div><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;                    <span class="keywordtype">int</span> wend   = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(wstart + pool_size_x, w_src + pad_right);</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;                    <span class="keywordtype">int</span> hend   = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(hstart + pool_size_y, h_src + pad_bottom);</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;                    <span class="keywordtype">int</span> pool   = (hend - hstart) * (wend - wstart);</div><div class="line"><a name="l00227"></a><span class="lineno">  227</span>&#160;                    wstart     = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(wstart, 0);</div><div class="line"><a name="l00228"></a><span class="lineno">  228</span>&#160;                    hstart     = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">std::max</a>(hstart, 0);</div><div class="line"><a name="l00229"></a><span class="lineno">  229</span>&#160;                    wend       = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(wend, w_src);</div><div class="line"><a name="l00230"></a><span class="lineno">  230</span>&#160;                    hend       = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">std::min</a>(hend, h_src);</div><div class="line"><a name="l00231"></a><span class="lineno">  231</span>&#160;                    <span class="comment">// Exclude padding pixels from the average</span></div><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;                    <span class="keywordflow">if</span>(exclude_padding)</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;                    {</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;                        pool = (hend - hstart) * (wend - wstart);</div><div class="line"><a name="l00235"></a><span class="lineno">  235</span>&#160;                    }</div><div class="line"><a name="l00236"></a><span class="lineno">  236</span>&#160;</div><div class="line"><a name="l00237"></a><span class="lineno">  237</span>&#160;                    <span class="keyword">using namespace </span>fixed_point_arithmetic;</div><div class="line"><a name="l00238"></a><span class="lineno">  238</span>&#160;</div><div class="line"><a name="l00239"></a><span class="lineno">  239</span>&#160;                    <span class="keyword">const</span> <span class="keywordtype">int</span>            fixed_point_position = src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>();</div><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;                    <span class="keyword">const</span> fixed_point&lt;T&gt; const_1(1, fixed_point_position);</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;                    <span class="keyword">const</span> fixed_point&lt;T&gt; invpool_fp(1.f / static_cast&lt;float&gt;(pool), fixed_point_position);</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;                    fixed_point&lt;T&gt;       avg_val(0, fixed_point_position, <span class="keyword">true</span>);</div><div class="line"><a name="l00243"></a><span class="lineno">  243</span>&#160;</div><div class="line"><a name="l00244"></a><span class="lineno">  244</span>&#160;                    <span class="keywordflow">if</span>(type == <a class="code" href="namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93afcefd647d6a866603c627b11347c707a">PoolingType::AVG</a>)</div><div class="line"><a name="l00245"></a><span class="lineno">  245</span>&#160;                    {</div><div class="line"><a name="l00246"></a><span class="lineno">  246</span>&#160;                        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = hstart; y &lt; hend; ++y)</div><div class="line"><a name="l00247"></a><span class="lineno">  247</span>&#160;                        {</div><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;                            <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = wstart; x &lt; wend; ++x)</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;                            {</div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;                                <span class="keyword">const</span> fixed_point&lt;T&gt; in_fp(src[r * h_src * w_src + y * w_src + x], fixed_point_position, <span class="keyword">true</span>);</div><div class="line"><a name="l00251"></a><span class="lineno">  251</span>&#160;                                avg_val = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a9d91c0affa9bc1921abc949791c514c0">add</a>(avg_val, in_fp);</div><div class="line"><a name="l00252"></a><span class="lineno">  252</span>&#160;                            }</div><div class="line"><a name="l00253"></a><span class="lineno">  253</span>&#160;                        }</div><div class="line"><a name="l00254"></a><span class="lineno">  254</span>&#160;                        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[r * h_dst * w_dst + h * w_dst + w] = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a8d71db736fe80cae37a9c94c57b34ed6">mul</a>(avg_val, invpool_fp).raw();</div><div class="line"><a name="l00255"></a><span class="lineno">  255</span>&#160;                    }</div><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;                    <span class="keywordflow">else</span></div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;                    {</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;                        <span class="keywordflow">for</span>(<span class="keywordtype">int</span> y = hstart; y &lt; hend; ++y)</div><div class="line"><a name="l00259"></a><span class="lineno">  259</span>&#160;                        {</div><div class="line"><a name="l00260"></a><span class="lineno">  260</span>&#160;                            <span class="keywordflow">for</span>(<span class="keywordtype">int</span> x = wstart; x &lt; wend; ++x)</div><div class="line"><a name="l00261"></a><span class="lineno">  261</span>&#160;                            {</div><div class="line"><a name="l00262"></a><span class="lineno">  262</span>&#160;                                <span class="keyword">const</span> fixed_point&lt;T&gt; in_fp(src[r * h_src * w_src + y * w_src + x], fixed_point_position, <span class="keyword">true</span>);</div><div class="line"><a name="l00263"></a><span class="lineno">  263</span>&#160;                                avg_val = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a9d91c0affa9bc1921abc949791c514c0">add</a>(avg_val, <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a8d71db736fe80cae37a9c94c57b34ed6">mul</a>(in_fp, in_fp));</div><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;                            }</div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;                        }</div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;                        <span class="keyword">auto</span> res                               = <a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a9d53af9692ab2f7ae6fc0017faeb46f0">div</a>(const_1, (<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a2b7623d9dd3fde1d0a3bbe034967cff5">inv_sqrt</a>(<a class="code" href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a8d71db736fe80cae37a9c94c57b34ed6">mul</a>(avg_val, invpool_fp))));</div><div class="line"><a name="l00267"></a><span class="lineno">  267</span>&#160;                        <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>[r * h_dst * w_dst + h * w_dst + w] = res.raw();</div><div class="line"><a name="l00268"></a><span class="lineno">  268</span>&#160;                    }</div><div class="line"><a name="l00269"></a><span class="lineno">  269</span>&#160;                }</div><div class="line"><a name="l00270"></a><span class="lineno">  270</span>&#160;            }</div><div class="line"><a name="l00271"></a><span class="lineno">  271</span>&#160;        }</div><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;    }</div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;</div><div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00275"></a><span class="lineno">  275</span>&#160;}</div><div class="line"><a name="l00276"></a><span class="lineno">  276</span>&#160;</div><div class="line"><a name="l00277"></a><span class="lineno">  277</span>&#160;<span class="keyword">template</span> &lt;&gt;</div><div class="line"><a name="l00278"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab4bcb7b9d8fde762fc6334655d17d632">  278</a></span>&#160;<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;uint8_t&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab4bcb7b9d8fde762fc6334655d17d632">pooling_layer&lt;uint8_t&gt;</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;uint8_t&gt;</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">src</a>, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>)</div><div class="line"><a name="l00279"></a><span class="lineno">  279</span>&#160;{</div><div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a>   src_tmp = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab24849be91cfb00a72f7a61a7e00fdb7">convert_from_asymmetric</a>(src);</div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a>   dst_tmp = pooling_layer&lt;float&gt;(src_tmp, <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">info</a>);</div><div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;    <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;uint8_t&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>     = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a291a16e64b05bdf4d08e1240d5bb286a">convert_to_asymmetric</a>(dst_tmp, src.<a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>());</div><div class="line"><a name="l00283"></a><span class="lineno">  283</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">dst</a>;</div><div class="line"><a name="l00284"></a><span class="lineno">  284</span>&#160;}</div><div class="line"><a name="l00285"></a><span class="lineno">  285</span>&#160;</div><div class="line"><a name="l00286"></a><span class="lineno">  286</span>&#160;<span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f690c5421273f6af88ec6e1434d5cc5">pooling_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;float&gt;</a> &amp;src, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> &amp;info);</div><div class="line"><a name="l00287"></a><span class="lineno">  287</span>&#160;<span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;half&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f690c5421273f6af88ec6e1434d5cc5">pooling_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;half&gt;</a> &amp;src, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> &amp;info);</div><div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;<span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;qint8_t&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f690c5421273f6af88ec6e1434d5cc5">pooling_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;qint8_t&gt;</a> &amp;src, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> &amp;info);</div><div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;<span class="keyword">template</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;qint16_t&gt;</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f690c5421273f6af88ec6e1434d5cc5">pooling_layer</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">SimpleTensor&lt;qint16_t&gt;</a> &amp;src, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_pooling_layer_info.xhtml">PoolingLayerInfo</a> &amp;info);</div><div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;} <span class="comment">// namespace reference</span></div><div class="line"><a name="l00291"></a><span class="lineno">  291</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00292"></a><span class="lineno">  292</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00293"></a><span class="lineno">  293</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_a8d71db736fe80cae37a9c94c57b34ed6"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a8d71db736fe80cae37a9c94c57b34ed6">arm_compute::test::fixed_point_arithmetic::detail::mul</a></div><div class="ttdeci">fixed_point&lt; T &gt; mul(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00917">FixedPoint.h:917</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_aabcf39e3917f842dbc5fbb0d802f24d5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#aabcf39e3917f842dbc5fbb0d802f24d5">arm_compute::test::fixed_point_arithmetic::detail::min</a></div><div class="ttdeci">fixed_point&lt; T &gt; min(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00897">FixedPoint.h:897</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml_a8ec75d4a941a9762431094479527f954"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml#a8ec75d4a941a9762431094479527f954">arm_compute::PoolingLayerInfo::pool_size</a></div><div class="ttdeci">const Size2D &amp; pool_size() const </div><div class="ttdoc">Get the pooling size. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00744">Types.h:744</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a9a3e72153aeb3ed212e9c3698774e881"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">arm_compute::test::SimpleTensor::data_type</a></div><div class="ttdeci">DataType data_type() const override</div><div class="ttdoc">Data type of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00337">SimpleTensor.h:337</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml_a3c82dfc72060f59eccf0bd096b81c5d5"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml#a3c82dfc72060f59eccf0bd096b81c5d5">arm_compute::PoolingLayerInfo::pad_stride_info</a></div><div class="ttdeci">PadStrideInfo pad_stride_info() const </div><div class="ttdoc">Get the padding and stride. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00749">Types.h:749</a></div></div>
<div class="ttc" id="_error_8h_xhtml_a54a6080c9f4df1f908e57a9bbb46f5da"><div class="ttname"><a href="_error_8h.xhtml#a54a6080c9f4df1f908e57a9bbb46f5da">ARM_COMPUTE_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true then an error message is printed and an exception thrown. </div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00328">Error.h:328</a></div></div>
<div class="ttc" id="tests_2validation_2_helpers_8h_xhtml"><div class="ttname"><a href="tests_2validation_2_helpers_8h.xhtml">Helpers.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_aba5871b3e4a65d057ec1c28fce8b00ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">arm_compute::test::SimpleTensor::shape</a></div><div class="ttdeci">TensorShape shape() const override</div><div class="ttdoc">Shape of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00294">SimpleTensor.h:294</a></div></div>
<div class="ttc" id="tests_2validation_2_fixed_point_8h_xhtml"><div class="ttname"><a href="tests_2validation_2_fixed_point_8h.xhtml">FixedPoint.h</a></div></div>
<div class="ttc" id="_pooling_layer_8h_xhtml"><div class="ttname"><a href="_pooling_layer_8h.xhtml">PoolingLayer.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a096668313a9a819d54a2e65ec21ff0cc"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a096668313a9a819d54a2e65ec21ff0cc">arm_compute::test::validation::info</a></div><div class="ttdeci">src info() -&gt; set_format(Format::S16)</div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">This file contains all available output stages for GEMMLowp on OpenCL. </div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00001">00_introduction.dox:1</a></div></div>
<div class="ttc" id="classarm__compute_1_1_size2_d_xhtml_a02afeaaf8574e7a78d6b466ff2695052"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml#a02afeaaf8574e7a78d6b466ff2695052">arm_compute::Size2D::height</a></div><div class="ttdeci">size_t height</div><div class="ttdoc">Height of the image region or rectangle. </div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00093">Size2D.h:93</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml_a078456fcb5fe2091665e52e650cd46c6"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml#a078456fcb5fe2091665e52e650cd46c6">arm_compute::PoolingLayerInfo::exclude_padding</a></div><div class="ttdeci">bool exclude_padding() const </div><div class="ttdoc">Check if padding is excluded in calculations. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00754">Types.h:754</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_a9d91c0affa9bc1921abc949791c514c0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a9d91c0affa9bc1921abc949791c514c0">arm_compute::test::fixed_point_arithmetic::detail::add</a></div><div class="ttdeci">fixed_point&lt; T &gt; add(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00907">FixedPoint.h:907</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1misc_1_1shape__calculator_xhtml_ad242bedd6845b8fc13ade41cfc062c83"><div class="ttname"><a href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml#ad242bedd6845b8fc13ade41cfc062c83">arm_compute::misc::shape_calculator::compute_pool_shape</a></div><div class="ttdeci">TensorShape compute_pool_shape(const ITensorInfo &amp;input, PoolingLayerInfo pool_info)</div><div class="ttdef"><b>Definition:</b> <a href="_shape_calculator_8h_source.xhtml#l00329">ShapeCalculator.h:329</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a291a16e64b05bdf4d08e1240d5bb286a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a291a16e64b05bdf4d08e1240d5bb286a">arm_compute::test::validation::convert_to_asymmetric</a></div><div class="ttdeci">SimpleTensor&lt; uint8_t &gt; convert_to_asymmetric(const SimpleTensor&lt; float &gt; &amp;src, const QuantizationInfo &amp;quantization_info)</div><div class="ttdoc">Convert float simple tensor into quantized using specified quantization information. </div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00146">Helpers.cpp:146</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_ab4bcb7b9d8fde762fc6334655d17d632"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#ab4bcb7b9d8fde762fc6334655d17d632">arm_compute::test::validation::reference::pooling_layer&lt; uint8_t &gt;</a></div><div class="ttdeci">SimpleTensor&lt; uint8_t &gt; pooling_layer&lt; uint8_t &gt;(const SimpleTensor&lt; uint8_t &gt; &amp;src, const PoolingLayerInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_pooling_layer_8cpp_source.xhtml#l00278">PoolingLayer.cpp:278</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a9f690c5421273f6af88ec6e1434d5cc5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a9f690c5421273f6af88ec6e1434d5cc5">arm_compute::test::validation::reference::pooling_layer</a></div><div class="ttdeci">SimpleTensor&lt; T &gt; pooling_layer(const SimpleTensor&lt; T &gt; &amp;src, const PoolingLayerInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_pooling_layer_8cpp_source.xhtml#l00042">PoolingLayer.cpp:42</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_ad2f1ea50a9e215ad8ef612a724a4866a"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#ad2f1ea50a9e215ad8ef612a724a4866a">arm_compute::PadStrideInfo::stride</a></div><div class="ttdeci">std::pair&lt; unsigned int, unsigned int &gt; stride() const </div><div class="ttdoc">Get the stride. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00619">Types.h:619</a></div></div>
<div class="ttc" id="_shape_calculator_8h_xhtml"><div class="ttname"><a href="_shape_calculator_8h.xhtml">ShapeCalculator.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_a2d3a66a044dcf4217d97f6b47319d5f1"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#a2d3a66a044dcf4217d97f6b47319d5f1">arm_compute::PadStrideInfo::pad_bottom</a></div><div class="ttdeci">unsigned int pad_bottom() const </div><div class="ttdoc">Get the bottom padding. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00660">Types.h:660</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_adbf67dcee294e673cf796f1ed8aeb6a4"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#adbf67dcee294e673cf796f1ed8aeb6a4">arm_compute::test::validation::dst</a></div><div class="ttdeci">CLTensor dst</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00137">Convolution.cpp:137</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_a2b7623d9dd3fde1d0a3bbe034967cff5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a2b7623d9dd3fde1d0a3bbe034967cff5">arm_compute::test::fixed_point_arithmetic::detail::inv_sqrt</a></div><div class="ttdeci">fixed_point&lt; T &gt; inv_sqrt(fixed_point&lt; T &gt; x)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00947">FixedPoint.h:947</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_afaaf8f4d7fa22fe9a3f4ff41567cd886"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#afaaf8f4d7fa22fe9a3f4ff41567cd886">arm_compute::PadStrideInfo::pad_right</a></div><div class="ttdeci">unsigned int pad_right() const </div><div class="ttdoc">Get the right padding. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00650">Types.h:650</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml">arm_compute::test::SimpleTensor</a></div><div class="ttdoc">Simple tensor object that stores elements in a consecutive chunk of memory. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00059">SimpleTensor.h:59</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a9172da722f0a434e5cc07c0a3c115d93"><div class="ttname"><a href="namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93">arm_compute::PoolingType</a></div><div class="ttdeci">PoolingType</div><div class="ttdoc">Available pooling types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00563">Types.h:563</a></div></div>
<div class="ttc" id="classarm__compute_1_1_size2_d_xhtml_a02bed8590a9ddf520e58a060059518ec"><div class="ttname"><a href="classarm__compute_1_1_size2_d.xhtml#a02bed8590a9ddf520e58a060059518ec">arm_compute::Size2D::width</a></div><div class="ttdeci">size_t width</div><div class="ttdoc">Width of the image region or rectangle. </div><div class="ttdef"><b>Definition:</b> <a href="_size2_d_8h_source.xhtml#l00092">Size2D.h:92</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_a9172da722f0a434e5cc07c0a3c115d93afcefd647d6a866603c627b11347c707a"><div class="ttname"><a href="namespacearm__compute.xhtml#a9172da722f0a434e5cc07c0a3c115d93afcefd647d6a866603c627b11347c707a">arm_compute::PoolingType::AVG</a></div><div class="ttdoc">Average Pooling. </div></div>
<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_a377481844bf0459e5ef871cc72d72496"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#a377481844bf0459e5ef871cc72d72496">arm_compute::PadStrideInfo::pad_left</a></div><div class="ttdeci">unsigned int pad_left() const </div><div class="ttdoc">Get the left padding. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00645">Types.h:645</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml_a7e8311a3a774bceb8efae1d5c8c8aeff"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml#a7e8311a3a774bceb8efae1d5c8c8aeff">arm_compute::PoolingLayerInfo::pool_type</a></div><div class="ttdeci">PoolingType pool_type() const </div><div class="ttdoc">Get the pooling type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00739">Types.h:739</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab24849be91cfb00a72f7a61a7e00fdb7"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab24849be91cfb00a72f7a61a7e00fdb7">arm_compute::test::validation::convert_from_asymmetric</a></div><div class="ttdeci">SimpleTensor&lt; float &gt; convert_from_asymmetric(const SimpleTensor&lt; uint8_t &gt; &amp;src)</div><div class="ttdoc">Convert quantized simple tensor into float using tensor quantization information. ...</div><div class="ttdef"><b>Definition:</b> <a href="_helpers_8cpp_source.xhtml#l00134">Helpers.cpp:134</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_a9d53af9692ab2f7ae6fc0017faeb46f0"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#a9d53af9692ab2f7ae6fc0017faeb46f0">arm_compute::test::fixed_point_arithmetic::detail::div</a></div><div class="ttdeci">fixed_point&lt; T &gt; div(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00922">FixedPoint.h:922</a></div></div>
<div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor&amp;#39;s metadata. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1misc_1_1shape__calculator_xhtml"><div class="ttname"><a href="namespacearm__compute_1_1misc_1_1shape__calculator.xhtml">arm_compute::misc::shape_calculator</a></div><div class="ttdef"><b>Definition:</b> <a href="_shape_calculator_8h_source.xhtml#l00037">ShapeCalculator.h:37</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_xhtml_ad91bb73431b4de1f4946ed949d444849"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail.xhtml#ad91bb73431b4de1f4946ed949d444849">arm_compute::test::fixed_point_arithmetic::detail::max</a></div><div class="ttdeci">fixed_point&lt; T &gt; max(fixed_point&lt; T &gt; x, fixed_point&lt; T &gt; y)</div><div class="ttdef"><b>Definition:</b> <a href="tests_2validation_2_fixed_point_8h_source.xhtml#l00902">FixedPoint.h:902</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml_adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5"><div class="ttname"><a href="namespacearm__compute.xhtml#adf2ced65e536375a1c96425d9fced858a26a4b44a837bf97b972628509912b4a5">arm_compute::NonLinearFilterFunction::MAX</a></div><div class="ttdoc">Non linear dilate. </div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_ac74736e3863207232a23b7181c1d0f44"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#ac74736e3863207232a23b7181c1d0f44">arm_compute::test::SimpleTensor::quantization_info</a></div><div class="ttdeci">QuantizationInfo quantization_info() const override</div><div class="ttdoc">Quantization info in case of asymmetric quantized type. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00312">SimpleTensor.h:312</a></div></div>
<div class="ttc" id="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml_a658e806b42869826f29b9288505da774"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml#a658e806b42869826f29b9288505da774">arm_compute::PoolingLayerInfo::is_global_pooling</a></div><div class="ttdeci">bool is_global_pooling() const </div><div class="ttdoc">Check if is global pooling. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00759">Types.h:759</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pooling_layer_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pooling_layer_info.xhtml">arm_compute::PoolingLayerInfo</a></div><div class="ttdoc">Pooling Layer Information class. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00688">Types.h:688</a></div></div>
<div class="ttc" id="classarm__compute_1_1test_1_1_simple_tensor_xhtml_a35ccf2eb0c18a15feab2db98b307b78b"><div class="ttname"><a href="classarm__compute_1_1test_1_1_simple_tensor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">arm_compute::test::SimpleTensor::fixed_point_position</a></div><div class="ttdeci">int fixed_point_position() const override</div><div class="ttdoc">Number of bits for the fractional part. </div><div class="ttdef"><b>Definition:</b> <a href="_simple_tensor_8h_source.xhtml#l00306">SimpleTensor.h:306</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a6743f0a130e8311e6f5b1a23df102472"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a6743f0a130e8311e6f5b1a23df102472">arm_compute::test::validation::src</a></div><div class="ttdeci">convolution configure &amp; src</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_2_convolution_8cpp_source.xhtml#l00147">Convolution.cpp:147</a></div></div>
<div class="ttc" id="classarm__compute_1_1_pad_stride_info_xhtml_a2a86593e913939d9eadad26c2df65138"><div class="ttname"><a href="classarm__compute_1_1_pad_stride_info.xhtml#a2a86593e913939d9eadad26c2df65138">arm_compute::PadStrideInfo::pad_top</a></div><div class="ttdeci">unsigned int pad_top() const </div><div class="ttdoc">Get the top padding. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00655">Types.h:655</a></div></div>
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